What Does “Quality” Mean for AI Testing?
AI is reshaping how organizations operate, but when it fails, the consequences reach far beyond the engineering team. A chatbot that invents a policy, a model that introduces bias, or a system that mishandles a transaction can quickly become a business crisis. The fallout is measured in customer trust, regulatory action, and lost revenue. That is why quality in AI isn’t just a technical goal but a leadership responsibility. This keynote will explore what quality truly means in the context of AI and why human intelligence is central to achieving it. Machines cannot anticipate the full range of human expectations or the nuances of ethical responsibility, which is why people play an essential role in guiding models, interpreting results, and applying testing approaches that matter most. You will learn how to identify where AI failures create the greatest risks, how to link those risks to effective testing strategies that uncover weaknesses early, and how to set clear standards for what trustworthy AI looks like in practice so your organization can scale responsibly.
Kristel Kruustük is the Founder and Board Director of Testlio, a leading managed crowdsourced testing company that helps global brands deliver exceptional digital experiences. She grew up in a small town near Tallinn, Estonia, where she discovered her passion for software testing early in her career. After experiencing the challenges of freelancing platforms while working in London, she founded Testlio to create a better way of integrating expert testers into release processes. Today, Testlio helps leaders like PayPal, Netflix, Microsoft, Uber, and more deliver experiences that resonate with their users in over 150+ countries. Beyond her work at Testlio, Kristel is an active angel investor focused on female-led companies, with six investments to date. She is a strong advocate for increasing diversity and representation in the startup ecosystem and is determined to help close the funding gap for women founders.